Parallel Processing of Morphological Pattern Spectrum for a Massive-Parallel Memory-Embedded SIMD Matrix Processor MX-1

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  • Kageyama Kyosuke
    Faculty of Science and Engineering, Ritsumeikan University
  • Koide Tetsushi
    Research Institute for Nanodevice and Bio Systems (RNBS), Graduate School of Advanced Sciences of Matter Hiroshima University
  • Kumaki Takeshi
    Faculty of Science and Engineering, Ritsumeikan University

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  • 超並列SIMD型演算プロセッサコアMX-1を利用したモルフォロジカルパターンスペクトラムの並列処理について
  • チョウヘイレツ SIMDガタ エンザン プロセッサコア MX-1 オ リヨウ シタ モルフォロジカルパターンスペクトラム ノ ヘイレツ ショリ ニ ツイテ

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Abstract

<p>The use of digital images has become quite widespread in legal, medical, and private contexts. However, anyone can easily edit or manipulate any digital image on a computer. In addition, the digital image are familiar to us with the population smartphone or mobile device. The morphological pattern spectrum is a mathematical method to describe size distributions of structuring element in an image. This algorithm is possible to execute effective image processing and has a lot of repeated calculation. Thus, conventional embedded processors low-throughput per power consumption for morphological pattern spectrum processing. A Massive-Parallel Memory-Embedded SIMD (Single Instruction Multiple Data) Matrix Processor (MX-1), which is based on C language processing, has been developed for effective parallel processing to satisfy with required specification on the digital convergence. The MX-1 consists of two SRAMs and 2-bit processing elements. The MX-1 can execute fast morphological pattern spectrum processing by parallel operation. Thus, throughput per power consumption of MX-1 is up to about 22 times than conventional parallel processor. And throughput per CMOS process-based power consumption of MX-1 is up to about 22 times than conventional parallel processor. The MX-1 performance for morphological pattern spectrum processing becomes effective solution for mobile devices on the digital convergence era.</p>

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